A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa
Modelling of Postglacial Landscape Development
Tekijät: Pohjola J, Turunen J, Lipping T, Sivula A, Marila M
Toimittaja: Jari Pohjola, Jari Turunen, Tarmo Lipping, Anna Sivula, Marko Marila
Kustantaja: SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Julkaisuvuosi: 2019
Kokoomateoksen nimi: Historical Perspectives to Postglacial Uplift: Case Studies from the Lower Satakunta Region
Lehden akronyymi: SPRINGERBRIEF GEOGR
Sarjan nimi: SpringerBriefs in Geography
Aloitussivu: 37
Lopetussivu: 48
Sivujen määrä: 12
ISBN: 978-3-030-00970-0
ISSN: 2211-4165
DOI: https://doi.org/10.1007/978-3-030-00970-0_3
Tiivistelmä
The postglacial land uplift process has been modelled using two different approaches: by modelling the geodynamics of the earth's crust (also referred to as Glacial Isostatic Adjustment (GIA) modelling) or by fitting mathematical models to existing archaeological and geological data (referred to as semi-empirical modelling). Although the semi-empirical models are not based on the physical properties of the earth's crust, they are easy to implement and can adapt better to local variations when compared to the GIA models. Semi-empirical models are fitted to the ice retreat data, eustatic sea level dynamics and lake isolation data on past shoreline displacement. As most of these data sources involve uncertainties, the land uplift process can be modelled probabilistically using the Monte Carlo method.
The postglacial land uplift process has been modelled using two different approaches: by modelling the geodynamics of the earth's crust (also referred to as Glacial Isostatic Adjustment (GIA) modelling) or by fitting mathematical models to existing archaeological and geological data (referred to as semi-empirical modelling). Although the semi-empirical models are not based on the physical properties of the earth's crust, they are easy to implement and can adapt better to local variations when compared to the GIA models. Semi-empirical models are fitted to the ice retreat data, eustatic sea level dynamics and lake isolation data on past shoreline displacement. As most of these data sources involve uncertainties, the land uplift process can be modelled probabilistically using the Monte Carlo method.
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